Total number and ratio of excitatory and inhibitory synapses converging onto single interneurons of different types in the CA1 area of the rat hippocampus
Ai. Gulyas et al., Total number and ratio of excitatory and inhibitory synapses converging onto single interneurons of different types in the CA1 area of the rat hippocampus, J NEUROSC, 19(22), 1999, pp. 10082-10097
The least known aspect of the functional architecture of hippocampal microc
ircuits is the quantitative distribution of synaptic inputs of identified c
ell classes. The complete dendritic trees of functionally distinct interneu
ron types containing parvalbumin (PV), calbindin D-28k (CB), or calretinin
(CR) were reconstructed at the light microscopic level to describe their ge
ometry, total length, and laminar distribution. Serial electron microscopic
reconstruction and postembedding GABA immunostaining was then used to dete
rmine the density of GABA-negative asymmetrical (excitatory) and GABA-posit
ive symmetrical (inhibitory) synaptic inputs on their dendrites, somata, an
d axon initial segments. The total convergence and the distribution of exci
tatory and inhibitory inputs were then calculated using the light and elect
ron microscopic data sets.
The three populations showed characteristic differences in dendritic morpho
logy and in the density and distribution of afferent synapses. PV cells pos
sessed the most extensive dendritic tree (4300 mu m) and the thickest dendr
ites. CR cells had the smallest dendritic tree (2500 mu m) and the thinnest
shafts. The density of inputs as well as the total number of excitatory pl
us inhibitory synapses was several times higher on PV cells (on average, 16
,294) than on CB (3839) or CR (2186) cells. The ratio of GABAergic inputs w
as significantly higher on CB (29.4%) and CR (20.71%) cells than on PV cell
s (6.4%). The density of inhibitory terminals was higher in the perisomatic
region than on the distal dendrites.
These anatomical data are essential to understand the distinct behavior and
role of these interneuron types during hippocampal activity patterns and r
epresent fundamental information for modeling studies.